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Adaptive anisotropic noise filtering for magnitude MR data
Authors:Sijbers J  den Dekker A J  Van der Linden A  Verhoye T M  Van Dyck D
Institution:

* Vision Lab, Department of Physics, University of Antwerp, Groenenborgerlaan 171, 2020 Antwerpen, Belgium

Bio–Imaging Lab, Department of Physics, University of Antwerp, Groenenborgerlaan 171, 2020 Antwerpen, Belgium

Abstract:Conventional noise filtering schemes applied to magnitude magnetic resonance (MR) images tacitly assume Gauss distributed noise. Magnitude MR data, however, are Rice distributed. Not incorporating this knowledge leads inevitably to biased results, in particular when applying such filters in regions with low signal-to-noise ratio. In this work, we show how the Rice data probability distribution can be incorporated so as to construct a noise filter that is far less biased.
Keywords:Adaptive  Anisotropic  Diffusion filter  Rice distribution  Maximum likelihood estimation
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